Process / pipelineOptimal filtering

Wiener Filter

The Wiener filter is an optimal linear filter that minimizes mean-square error between the desired signal and the filter output given knowledge of signal and noise statistics. Developed by Norbert Wiener in 1949, it provides the theoretical foundation for optimal filtering and remains the benchmark against which all other linear filtering methods are compared.

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Sources

  1. Wiener, N. (1949). Extrapolation, Interpolation, and Smoothing of Stationary Time Series. John Wiley & Sons. link
  2. Haykin, S. (2002). Adaptive Filter Theory (4th ed.). Prentice Hall. link

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Referenced by

ScholarGateWiener Filter (Wiener Optimal Linear Filter). Retrieved 2026-06-04 from https://scholargate.app/en/signal-processing/wiener-filter